Searched for: author:"Hillebrand, A."
(1 - 3 of 3)
Yu, M. (author), Hillebrand, A. (author), Tewarie, P. (author), Meier, J. (author), Van Dijk, B. (author), Van Mieghem, P. (author), Stam, C.J. (author)
The identification of clusters or communities in complex networks is a reappearing problem. The minimum spanning tree (MST), the tree connecting all nodes with minimum total weight, is regarded as an important transport backbone of the original weighted graph. We hypothesize that the clustering of the MST reveals insight in the hierarchical...
journal article 2015
Stam, C.J. (author), Tewarie, P. (author), Van Dellen, E. (author), Van Straaten, E.C.W. (author), Hillebrand, A. (author), Van Mieghem, P. (author)
In recent years there has been a shift in focus from the study of local, mostly task-related activation to the exploration of the organization and functioning of large-scale structural and functional complex brain networks. Progress in the interdisciplinary field of modern network science has introduced many new concepts, analytical tools and...
journal article 2014
Stam, C.J. (author), Hillebrand, A. (author), Wang, H. (author), Van Mieghem, P. (author)
A network of 32 or 64 connected neural masses, each representing a large population of interacting excitatory and inhibitory neurons and generating an electroencephalography/magnetoencephalography like output signal, was used to demonstrate how an interaction between dynamics and connectivity might explain the emergence of complex network...
journal article 2010